{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot  as plt\n",
    "\n",
    "from numpy import genfromtxt\n",
    "\n",
    "try:\n",
    "    import cPickle as pickle\n",
    "except ImportError:  # Python 3.x\n",
    "    import pickle"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dict_keys(['t', (0, 0), (0, 50), (0, 100), (0, 150), (0, 200), (0, 250), (0, 300), (0, 350), (0, 400), (0, 450), (0, 500), (1, 0), (1, 50), (1, 100), (1, 150), (1, 200), (1, 250), (1, 300), (1, 350), (1, 400), (1, 450), (1, 500)])\n"
     ]
    }
   ],
   "source": [
    "with open('lit3rick_optim.pkl', 'rb') as fp:\n",
    "    data = pickle.load(fp)\n",
    "print(data.keys())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f31c0196400>]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(data[\"t\"],data[1,200])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 0 0.0087890625\n",
      "0 50 0.0107421875\n",
      "0 100 0.015625\n",
      "0 150 0.029296875\n",
      "0 200 0.05078125\n",
      "0 250 0.0869140625\n",
      "0 300 0.15234375\n",
      "0 350 0.2587890625\n",
      "0 400 0.419921875\n",
      "0 450 0.6455078125\n",
      "0 500 0.951171875\n",
      "1 0 0.033203125\n",
      "1 50 0.0400390625\n",
      "1 100 0.0634765625\n",
      "1 150 0.1103515625\n",
      "1 200 0.19140625\n",
      "1 250 0.3369140625\n",
      "1 300 0.515625\n",
      "1 350 0.681640625\n",
      "1 400 1.001953125\n",
      "1 450 1.6533203125\n",
      "1 500 2.5380859375\n"
     ]
    }
   ],
   "source": [
    "gain1={}\n",
    "gain2={}\n",
    "gain3={}\n",
    "\n",
    "for hiloVal in [0,1]:\n",
    "    for DAC in range(11):\n",
    "        DAC = DAC*50\n",
    "        gain1[hiloVal,DAC] = np.max(data[hiloVal,DAC][64*40:64*50]) - np.min(data[hiloVal,DAC][64*40:64*50])\n",
    "        gain2[hiloVal,DAC] = np.max(data[hiloVal,DAC][64*80:64*90]) - np.min(data[hiloVal,DAC][64*80:64*90])\n",
    "        gain3[hiloVal,DAC] = np.max(data[hiloVal,DAC][64*110:]) - np.min(data[hiloVal,DAC][64*110:])\n",
    "        print(hiloVal,DAC,gain[hiloVal,DAC])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## AD8331 \n",
    "\n",
    "https://www.analog.com/en/products/ad8331.html#product-overview\n",
    "\n",
    "Gain : \n",
    "\n",
    "* −4.5 dB to +43.5 dB in LO gain mode\n",
    "* 7.5 dB to 55.5 dB in HI gain mode"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "41.29985011159623\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,5))\n",
    "\n",
    "x = []\n",
    "\n",
    "y1 = []\n",
    "y2 = []\n",
    "y3 = []\n",
    "\n",
    "y11 = []\n",
    "y12 = []\n",
    "y13 = []\n",
    "\n",
    "hiloVal = 1\n",
    "for DAC in range(11):\n",
    "    DAC = DAC*50\n",
    "    x.append(DAC)\n",
    "    y1.append(gain1[hiloVal,DAC])\n",
    "    y2.append(gain2[hiloVal,DAC])\n",
    "    y3.append(gain3[hiloVal,DAC])\n",
    "\n",
    "\n",
    "\n",
    "hiloVal = 0\n",
    "for DAC in range(11):\n",
    "    DAC = DAC*50 \n",
    "    y11.append(gain1[hiloVal,DAC])\n",
    "    y12.append(gain2[hiloVal,DAC])\n",
    "    y13.append(gain3[hiloVal,DAC])\n",
    "\n",
    "y1 =  20.0*np.log10 ( np.array(y1) / y1[0] ) \n",
    "y2 =  20.0*np.log10 ( np.array(y2) / y2[0] ) \n",
    "y3 =  20.0*np.log10 ( np.array(y3) / y3[0] ) \n",
    "y11 = 20.0*np.log10 ( np.array(y11) / y11[0] ) \n",
    "y12 = 20.0*np.log10 ( np.array(y12) / y12[0] ) \n",
    "y13 = 20.0*np.log10 ( np.array(y13) / y13[0] ) \n",
    "\n",
    "#plt.plot(X,(Y),\"x\")\n",
    "\n",
    "plt.plot(x,y1, linestyle='solid',label=\"Peak 1, HI\")\n",
    "plt.plot(x,y2, linestyle='solid',label=\"Peak 2, HI\")\n",
    "plt.plot(x,y3, linestyle='solid',label=\"Peak 3, HI\")\n",
    "\n",
    "plt.plot(x,y11, linestyle='dashed',label=\"Peak 1, LO\")\n",
    "plt.plot(x,y12, linestyle='dashed',label=\"Peak 2, LO\")\n",
    "plt.plot(x,y13, linestyle='dashed',label=\"Peak 3, LO\")\n",
    "#plt.yscale('log')\n",
    "\n",
    "\n",
    "print(y12[-1]-y12[0])\n",
    "\n",
    "plt.legend()\n",
    "plt.xlabel('us')\n",
    "plt.ylabel('gain (dB)')\n",
    "plt.title(\"Lit3rick, 5V, testing gain within the TGC range - normalized at gain = 0\")\n",
    "plt.savefig(\"lit3_5V_gaintrends.jpg\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "11.544728152058605\n",
      "8.524946452447939\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,5))\n",
    "\n",
    "x = []\n",
    "\n",
    "yH = []\n",
    "yL = []\n",
    "\n",
    "hiloVal = 1\n",
    "for DAC in range(11):\n",
    "    DAC = DAC*50\n",
    "    x.append(DAC)\n",
    "    yH.append(gain3[hiloVal,DAC])\n",
    "\n",
    "\n",
    "\n",
    "hiloVal = 0\n",
    "for DAC in range(11):\n",
    "    DAC = DAC*50 \n",
    "    yL.append(gain3[hiloVal,DAC])\n",
    "\n",
    "ref = np.array(yH)[0]\n",
    "\n",
    "yH = 20.0*np.log10 ( np.array(yH) / ref )  \n",
    "yL = 20.0*np.log10 ( np.array(yL) / ref )  \n",
    "\n",
    "#plt.plot(X,(Y),\"x\")\n",
    "\n",
    "plt.plot(x,yH, linestyle='solid', label=\"HI\")\n",
    "plt.plot(x,yL, linestyle='dashed', label=\"LO\")\n",
    "\n",
    "#plt.yscale('log')\n",
    "\n",
    "\n",
    "print(yH[0]-yL[0])\n",
    "print(yH[-1]-yL[-1])\n",
    "\n",
    "plt.legend()\n",
    "plt.title(\"Lit3rick, 5V, testing gain within the TGC range - normalized at gain = 0, HI\")\n",
    "plt.savefig(\"lit3_5V_hilo.jpg\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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